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Our end-to-end NVMe-FC SAN solutions deliver the highest throughput and fastest response times yet for your enterprise workloads.
Being first to market only matters when it has tangible benefits for customers. And that's what NetApp is all about.
We were first with end-to-end NVMe/FC, and now we're blazing another new path as the only major vendor to provide NVMe/TCP. Get it all with NetApp AFF A-series systems, which continue to provide a performance-obsessed foundation for your hybrid-cloud deployments.
With faster-than-expected adoption of NVMe-based all-flash arrays in recent years, new technologies like NVMe over Fabrics (NVMe-oF) will continue to fuel the evolution of the enterprise storage industry. NVMe/TCP is expected to be a key technology to drive mainstream market adoption due to its ubiquity and ease of deployment. Because it is based on Ethernet, it doesn't require new hardware investment. It is particularly attractive for hybrid-cloud deployments.
Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies Group at IDC
The 2024 Gartner® Magic Quadrant™ for Primary Storage Platforms marks our 12th consecutive year as a Leader. [1]
Customer choice, rock-solid reliability, and public cloud flexibility are the values NetApp brings to customers with our NVMe solutions. NVMe accelerates many of today’s most critical business workloads.
AI file systems such as GPFS that work better with block protocols will see performance improvements by adopting NVMe.
NVMe enables high data ingest rates and much higher concurrent performance. Another NVMe benefit in these environments would be the ability to support large numbers of initiators concurrently running I/O against centrally located data lakes.
NVMe’s ability to support huge numbers of client connections enable AFF systems to act as both edge data collection points and centralized storage pools that can host the resultant data lakes created with all the sensor data.
NetApp® AFF A800 storage systems with end-to-end NVMe/FC redefine the limit of what’s possible with artificial intelligence, deep learning, and all of your other intensive workloads. Check out these numbers:
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